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know-my-larkmate-openclawknow MY larkmate OpenClaw 搜索

Agent Skill

know-my-larkmate-openclaw 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,328

周安装

79

GitHub Stars

公开资料未说明

下载量

816
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:know-my-larkmate-openclaw(know MY larkmate OpenClaw 搜索)
来源仓库:https://github.com/lobster-de-luo/know-my-larkmate-openclaw
安装命令:
openclaw skills install know-my-larkmate-openclaw
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install know-my-larkmate-openclaw

简介

know-my-larkmate-openclaw 用于同步 Lark 上下文到 OpenClaw 笔记。

  • 适合在心跳运行期间或用户询问近期动态时使用。
  • 可结合来源仓库和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围和维护状态。know-my-larkmate-openclaw 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 涉及第三方平台集成时需注意数据同步边界。

SKILL.md

name
know-my-larkmate-openclaw
description
Sync recent Lark context into OpenClaw daily notes. Use during heartbeat runs, after relevant Lark reads, when the user asks what they have been doing or focused on recently, or when setting up this OpenClaw-native recent-context workflow.
metadata
{"openclaw":{"requires":{"bins":["lark-cli"]},"install":[{"id":"node","kind":"node","package":"@larksuite/cli","bins":["lark-cli"],"label":"Install lark-cli (npm)"}]}}

know-my-larkmate-openclaw

Use this skill to keep OpenClaw closely synced to the user's recent context, not just to write one-off summaries.

This skill is designed for an OpenClaw setup that uses:

  • memory/YYYY-MM-DD.md for fast context sync and evidence logs
  • HEARTBEAT.md for scheduled consolidation tasks

This skill should write reliable, high-signal recent context into daily notes and stop there. Do not invent a parallel memory system, and do not manage long-term promotion yourself unless the user explicitly asks for that.

For install/setup requirements, read references/install-spec.md. The recommended heartbeat template lives at assets/HEARTBEAT.md.

Heartbeat should update today's daily note on every useful run, and any relevant Lark-reading turn should do the same before replying.

When To Use

Keep this section aligned with the frontmatter description. Use this skill in any of these cases:

  • A heartbeat run should refresh the agent's view of the user's current work context.
  • Any normal turn that read relevant Lark artifacts should sync a short context snapshot before replying.
  • The user asks what they have been doing recently, what they are focused on, or what has changed lately.
  • The user asks to update, refresh, or accumulate recent context from Lark activity.
  • The user wants this OpenClaw-native recent-context workflow in place.

Source Priority

Prefer sources in this order:

  1. Explicit user statements in the current chat
  2. Repeated evidence across independent Lark sources
  3. Single-source weak inferences

What To Capture

Capture these in today's daily note when they are newly relevant:

  • Active workstreams and current priorities
  • Recent meetings, documents, threads, and decisions that will likely matter in the next few turns
  • Current blockers, unresolved questions, and likely next asks
  • Newly important collaborators or stakeholders
  • Explicitly stated near-term preferences that may change how the next few turns should go

Do not persist:

  • One-off task trivia
  • Third-party private information
  • Sensitive personal data
  • Speculative personality judgments
  • Anything blocked by missing permissions or unreadable sources

Write Rules

  • Every useful heartbeat should append a short current-context update to today's daily note.
  • Use the Output Format block below instead of free-form notes.
  • Keep records factual, recent, and source-linked.
  • If something looks stable enough for long-term memory, still record it in the daily note and let OpenClaw's own promotion mechanisms handle the rest.
  • Conflicts should be logged as observations instead of silently normalizing them.
  • If a Lark read fails because tools or scopes are missing, record the failure as a blocked observation instead of inferring.
  • If the failure is a permission error, request only the missing read-only scope(s), then retry the same read. Do not request write scopes from this skill.

OpenClaw File Roles

  • memory/YYYY-MM-DD.md

- Append short records for fresh context, evidence, and blocked scans. - This is the main output of the skill and should be updated on each useful heartbeat run. - Use it for evidence and current context, not polished prose.

  • HEARTBEAT.md

- Define recurring scan and light consolidation tasks. - Heartbeat should stay quiet by default and only surface conflicts or high-value changes.

Operating Workflow

  1. Read today's plus yesterday's daily notes if they exist.
  2. Gather new user signals from direct chat or Lark artifacts.
  3. Identify what changed in the user's near-term context: active workstreams, recent collaborators, new decisions, blockers, likely next requests.
  4. Append a short daily-note record for each useful new signal.
  5. If there is nothing new, do not manufacture context.
  6. Leave long-term memory promotion to OpenClaw unless the user explicitly asks otherwise.

Lark Read Guidance

Preferred reads:

  • lark-cli im +messages-search
  • lark-cli calendar +agenda
  • lark-cli vc +search
  • lark-cli minutes +search
  • lark-cli docs +search
  • lark-cli docs +fetch
  • lark-cli wiki spaces list
  • lark-cli wiki spaces get_node

When the job is specifically about reading Lark activity, also open references/recent-context-guide.md.

Output Format

When updating memory/YYYY-MM-DD.md, use this structure:

# [Analysis Title: concrete and time-scoped, e.g. Heartbeat Context Sync - 2026-04-14 10:00]

## Executive summary
[One short paragraph on what changed and why it matters next]

## Key findings
- Finding 1 with enough source detail to trace the claim
- Finding 2 with enough source detail to trace the claim

## Related Activities
1. Supporting chat, meeting, doc, minute, or task

If the run found nothing useful, do not append filler.

If the user only asks for the skill or design, do not create the memory files unprompted.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

82.02%
按下载量换算669

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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